000 03904nam a2201225Ia 4500
000 01725ntm a2200205 i 4500
001 73615
003 0
005 20250920163918.0
008 180901n 000 0 eng d
010 _z
_z
_o
_a
_b
015 _22
_a
016 _2
_2
_a
_z
020 _e
_e
_a
_b
_z
_c
_q
_x
022 _y
_y
_l
_a2
024 _2
_2
_d
_c
_a
_q
028 _a
_a
_b
029 _a
_a
_b
032 _a
_a
_b
035 _a
_a
_b
_z
_c
_q
037 _n
_n
_c
_a
_b
040 _e
_erda
_a
_d
_b
_c
041 _e
_e
_a
_b
_g
_h
_r
043 _a
_a
_b
045 _b
_b
_a
050 _a
_a
_d
_b2
_c0
051 _c
_c
_a
_b
055 _a
_a
_b
060 _a
_a
_b
070 _a
_a
_b
072 _2
_2
_d
_a
_x
082 _a
_a
_d
_b2
_c
084 _2
_2
_a
086 _2
_2
_a
090 _a
_a
_m
_b
_q
092 _f
_f
_a
_b
096 _a
_a
_b
097 _a
_a
_b
100 _e
_e
_aJohn Delfin Aquilo, Charlyne Mary Francisco.
_d
_b4
_u
_c0
_q16
110 _e
_e
_a
_d
_b
_n
_c
_k
111 _a
_a
_d
_b
_n
_c
130 _s
_s
_a
_p
_f
_l
_k
210 _a
_a
_b
222 _a
_a
_b
240 _s
_s
_a
_m
_g
_n
_f
_l
_o
_p
_k
245 0 _a
_aAn enhancement of stroke width transform algorithm applied in text detection in images /
_d
_b
_n
_cJohn Delfin Aquilo, Charlyne Mary Francisco.
_h6
_p
246 _a
_a
_b
_n
_i
_f6
_p
249 _i
_i
_a
250 _6
_6
_a
_b
260 _e
_e
_a
_b
_f
_c
_g
264 _3
_3
_a
_d
_b
_c201746
300 _e
_e
_c28 cm.
_a200 pp.
_b
310 _a
_a
_b
321 _a
_a
_b
336 _b
_atext
_2rdacontent
337 _3
_30
_b
_aunmediated
_2rdamedia
338 _3
_30
_b
_avolume
_2rdacarrier
340 _2
_20
_g
_n
344 _2
_2
_a0
_b
347 _2
_2
_a0
362 _a
_a
_b
385 _m
_m
_a2
410 _t
_t
_b
_a
_v
440 _p
_p
_a
_x
_v
490 _a
_a
_x
_v
500 _a
_aThesis: (BSCS major in Computer Science) - Pamantasan ng Lungsod ng Maynila, 2017.
_d
_b
_c56
504 _a
_a
_x
505 _a
_a
_b
_t
_g
_r
506 _a
_a5
510 _a
_a
_x
520 _b
_b
_c
_aABSTRACT One of the most important parts of image information retrieval is text detection in images. In this research, we present a novel image operator that seeks to find the value of stroke width for each image pixel, and demonstrate its use on task of text detection in images that is called the Stroke Width Transform which is commonly used in image processing. The system applies text detection in images using SWT Algorithm. The algorithm has issues in its results wherein the detected texts have broken letters and noises, it doesn't detect some letters of a word or some words present in the image that are small, narrow or have noises surrounding it, and it cannot detect cursive texts/letters. The enhanced SWT algorithm solves the problem by double threshold and hysteresis, removing connected-components algorithm in finding letter candidates and tracing of edges horizontally, vertically and diagonally.
_u
521 _a
_a
_b
533 _e
_e
_a
_d
_b
_n
_c
540 _c
_c
_a5
542 _g
_g
_f
546 _a
_a
_b
583 _5
_5
_k
_c
_a
_b
590 _a
_a
_b
600 _b
_b
_v
_t
_c2
_q
_a
_x0
_z
_d
_y
610 _b
_b
_v
_t2
_x
_a
_k0
_p
_z
_d6
_y
611 _a
_a
_d
_n2
_c0
_v
630 _x
_x
_a
_d
_p20
_v
648 _2
_2
_a
650 _x
_x
_a
_d
_b
_z
_y20
_v
651 _x
_x
_a
_y20
_v
_z
655 _0
_0
_a
_y2
_z
700 _i
_i
_t
_c
_b
_s1
_q
_f
_k40
_p
_d
_e
_a
_l
_n6
710 _b
_b
_t
_c
_e
_f
_k40
_p
_d5
_l
_n6
_a
711 _a
_a
_d
_b
_n
_t
_c
730 _s
_s
_a
_d
_n
_p
_f
_l
_k
740 _e
_e
_a
_d
_b
_n
_c6
753 _c
_c
_a
767 _t
_t
_w
770 _t
_t
_w
_x
773 _a
_a
_d
_g
_m
_t
_b
_v
_i
_p
775 _t
_t
_w
_x
776 _s
_s
_a
_d
_b
_z
_i
_t
_x
_h
_c
_w
780 _x
_x
_a
_g
_t
_w
785 _t
_t
_w
_a
_x
787 _x
_x
_d
_g
_i
_t
_w
800 _a
_a
_d
_l
_f
_t0
_q
_v
810 _a
_a
_b
_f
_t
_q
_v
830 _x
_x
_a
_p
_n
_l0
_v
942 _a
_alcc
_cBK
999 _c10375
_d10375